hotfix/dependencies-and-plz-data-schema-change (closes #2) #3
@ -4,7 +4,7 @@ ARG PLZ_DATA=Postleitzahlengebiete_-_OSM.geojson
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ARG PLZ_HIGHLIGHT=wtf_member_plz_prefixes.json
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ARG PLZ_HIGHLIGHT=wtf_member_plz_prefixes.json
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# Set up environment with dependencies
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# Set up environment with dependencies
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RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev wget optipng imagemagick -y
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RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev libgdal-dev wget optipng imagemagick -y
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COPY requirements.txt ./
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COPY requirements.txt ./
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RUN pip install -r requirements.txt
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RUN pip install -r requirements.txt
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30
main.py
30
main.py
@ -28,27 +28,23 @@ def main(
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data.loc[data["plz"].str.startswith(plz_prefix), "highlighted"] = True
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data.loc[data["plz"].str.startswith(plz_prefix), "highlighted"] = True
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# TODO: This should instead be a proper geo spatial projection
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# TODO: This should instead be a proper geo spatial projection
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coordinate_transform = np.array([[1.0, 1.6]]).T
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coordinate_transform = np.array([[1.0, 1.0]]).T
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ax = plt.axes(aspect="equal")
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ax = plt.axes(aspect="equal")
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for bundesland in data["bundesland"].unique():
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union = data.unary_union
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bundesland_df = data[data["bundesland"] == bundesland]
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for geom in getattr(union, "geoms", [union]):
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union = bundesland_df.unary_union
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ax.fill(
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*geom.exterior.xy,
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fc=map_background_color,
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ec=image_background_color,
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linewidth=0.1,
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)
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if any(data["highlighted"]):
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union = data[data["highlighted"]].unary_union
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for geom in getattr(union, "geoms", [union]):
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for geom in getattr(union, "geoms", [union]):
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ax.fill(
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ax.fill(
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*(geom.exterior.xy * coordinate_transform),
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*geom.exterior.xy,
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fc=map_background_color,
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ec=image_background_color,
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linewidth=0.1,
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)
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if not any(bundesland_df["highlighted"]):
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continue
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union = bundesland_df[bundesland_df["highlighted"]].unary_union
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for geom in getattr(union, "geoms", [union]):
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ax.fill(
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*(geom.exterior.xy * coordinate_transform),
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fc=map_accent_color,
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fc=map_accent_color,
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ec=None,
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ec=None,
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)
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)
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@ -1,2 +1,3 @@
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numpy==1.26.4
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geopandas==0.11.1
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geopandas==0.11.1
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matplotlib==3.6.2
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matplotlib==3.6.2
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